Does AI recommend your brand?

Does AI recommend your brand?

Hello

Not “does AI know about your brand?”

Knows and recommends are different things.

I ran Notion through 5 AI engines this week. ChatGPT, Perplexity, Claude, Google AI, Grok. Five real buyer questions across all five.

Notion appeared in 9 of 25 responses.

Here’s the part that should worry every product marketer reading this:

Notion’s website pushes “AI everything app.” Q&A agents, task routing agents, and reporting agents. That’s their language. Their framing. The thing they want to be known for.

When I asked all 5 engines that exact question, “How can I automate Q&A, task routing, and reporting with an AI agent?”, Notion appeared in zero. 0 out of 5.

But when I asked broader category questions like “What are the best all-in-one productivity platforms that integrate AI?”, they showed up in 3 out of 5.

Read that again.

The language Notion uses to describe itself is invisible to AI. The language buyers use to describe the category finds them. Those are two different positions. Notion owns the category noun (“workspace”), but their feature push (“AI agents”) hasn’t landed.

Google AI returned zero results for Notion across all five queries. The largest search engine’s AI layer doesn’t associate Notion with any of these buyer questions.

This isn’t a Notion problem. This is the pattern. Companies spend millions on messaging that describes what they want to be. AI builds its recommendations from what customers and third parties actually say. When those don’t match, AI recommends someone else.

Your website says what you want to be. 
AI says what you actually are.

Most companies have never checked.

I built Analyzer to run this test in 60 seconds. 5 prompts, 5 AI engines, 25 data points. Shows you exactly where you show up and where you’re invisible.

Free. 
No account needed. 
See your gap in 60 seconds.

Try Analyzer now. See the gap in 60 seconds


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Every Tuesday, you can expect practical advice on positioning tailored for business leaders. Written by Paul Syng.



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